Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

(2018) Berk Norman et al.   RADIOLOGY

Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis

(2016) Mark D. Kohn et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

(2016) Michael K. K. Leung et al.   PROCEEDINGS OF THE IEEE

Deep learning

(2015) Yann LeCun et al.   NATURE

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

(2015) Yoshua Bengio et al.   NEURAL NETWORKS

Osteoarthritis Classification Scales: Interobserver Reliability and Arthroscopic Correlation

(2014)   JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME

What is the predictive value of MRI for the occurrence of knee replacement surgery in knee osteoarthritis?

(2013) J-P Pelletier et al.   ANNALS OF THE RHEUMATIC DISEASES

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Unsupervised learning of hierarchical representations with convolutional deep belief networks

(2011) Honglak Lee et al.   COMMUNICATIONS OF THE ACM

Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)

(2011) Ilana Ackerman   AUSTRALIAN JOURNAL OF PHYSIOTHERAPY

Comparative evaluation of three semi-quantitative radiographic grading techniques for knee osteoarthritis in terms of validity and reproducibility in 1759 X-rays: report of the OARSI–OMERACT task force

(2008) L. Gossec et al.   OSTEOARTHRITIS AND CARTILAGE